Training & Optimization

Vanishing Gradient

A problem where gradients become extremely small during backpropagation, preventing deep networks from learning effectively.

  • Backpropagation: Explore how Backpropagation relates to Vanishing Gradient
  • Deep Networks: Explore how Deep Networks relates to Vanishing Gradient
  • Residual Connection: Explore how Residual Connection relates to Vanishing Gradient
  • LSTM: Explore how LSTM relates to Vanishing Gradient

Why It Matters

Understanding Vanishing Gradient is crucial for anyone working with training & optimization. This concept helps build a foundation for more advanced topics in AI and machine learning.

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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.

Tags

training-optimization backpropagation deep-networks residual-connection

Related Terms

Backpropagation

The algorithm for computing gradients of the loss with respect to network weights, enabling training through gradient descent.

Residual Connection

Skip connections that allow gradients to flow directly through a network, enabling training of very deep networks (ResNet).

Added: November 18, 2025

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